Global Energy Internet Research Articles

Simulation of large-scale energy storage to improve high-voltage DC stability

Study on large-scale electrochemical energy storage simulation is carried out in this paper to discuss its feasibility in enhancing the stability of HVDC power transmission, thus providing a reference for large-scale energy storage planning and design in the background of global energy internet. The paper introduces the development status quo of the large-scale energy storage technology, and provides an analysis of the active and inactive power features after HVDC commutation failure by establishing a large-scale energy storage model and a HVDC power transmission system commutation failure model, thereby exploring the configuration feasibility of the large-scale energy storage technology; Then, a simulation analysis is given on the effect of large-scale energy storage on HVDC power transmission fault features; Finally, a prospect was expected towards the application tendency of large-scale energy storage in global energy internet.

Research on Security Architecture of Global Energy Internet Standard Support System

The global energy Internet standard support system plays a vital role in global energy interconnection. However, the system brings convenience to the global energy interconnection and introduces new security issues. Due to the diversity of users, the complexity of the environment and the internationalization, there will be more and more malicious network intrusions from outside and inside. The security system of the global energy Internet standard support system faces great challenges. To this end, this paper proposes a security architecture that combines active and passive, establishing a chain of trust between the active security architecture and the passive security architecture, ensuring a new security architecture, a security organization framework, a security policy framework, a security operation framework, and a closed-loop system that integrates the security technology framework. A deep learning algorithm was introduced for network intrusion learning to achieve sustainable management of the information security life cycle. The combination of active and passive security systems and continuous monitoring strategies based on deep learning fully ensure the security of the global energy Internet standard support system.

Research on Key Technologies and Applications of Energy Internet Blockchain

In view of the challenges facing the current development of energy Internet, the basic theory, architecture implementation and application mode of energy blockchain technology are proposed from the communication layer, data layer and contract layer. In this paper, we analyze the value distribution mode of blockchain in energy internet, integrate business form, information system, Internet of Things and blockchain, and build secure and autonomous peer-to-peer energy Internet environment based on blockchain. The key technologies are constructed from the network layer, system layer and business layer. The problems of network layer equipment and data access authentication, secure and trusted sharing are solved. The system layer blockchain-based power payment, power settlement, power audit and other business support capabilities are improved. The system enhances the security and credibility of business, and drives the future global energy Internet development.

An economic benefit evaluation model and its application for optimizing transmission capacity of multinational interconnections

Multinational power grid interconnections play a critical part in supporting the vision of global energy internet. During the early stages of the Global Energy Internet, the value proposition of multinational interconnections should be carefully investigated in order to stimulate the activities for associated countries in such potential interconnections. This paper proposes a new e conomic benefit evaluation model which is quantified by using a chronological production cost simulation approach. The economic benefit model comprehensively considered investment costs and the benefits of the decrease of load payments and the increase of net generation revenue due to a transmission project interconnected with different countries. This economic benefit model can assist to quantitatively determine the optimal transmission capacity for multinational interconnections to achieve maximum economic benefits as a whole. In the case study, the economic benefit of an interconnected system of western China and the Gulf States is assessed by using the method proposed in this paper. And the optimal interconnection capacity with maximum benefit is achieved. The case study shows that the proposed method can be used for economic benefit assessment and is of great significance to the multinational and inter-continental transmission interconnections.

Recyclable insulation material for HVDC cables in Global Energy Interconnection

With the development of modern power systems, especially that of the global energy internet, high-voltage, direct current (HVDC) cable power transmission will play an important role in the future. The key problem of HVDC cable power transmission is the need for novel cable insulation materials that have high performance, recyclability, and higher working temperature to replace traditional crosslinked polyethylene. This paper investigates the thermal and electrical properties of polypropylene (PP)/Al2O3 nanocomposites as a potential recyclable HVDC cable insulation material. The developed nanocomposites exhibit excellent thermal and electrical properties with the introduction of Al2O3 nanoparticles. Particularly, the space charge accumulation is greatly suppressed.

Self-organizing Network Synchronization Technology based User-side Information Communication Method in Energy Internet

With the global energy Internet four major changes in future, a variety of new grid business came into being. User side energy equipment is not only energy consumers, but also will serve as the role of energy suppliers, so the information exchange between users is becoming more and more complicated, a large number of multi-form user terminal access and out of the grid through the “plug and play”, and there will be a decentralized self-organizing information interaction between large-scale distributed clients. In the physical information integration of the Energy Internet, the synchronization method of information between the energy endpoints greatly affects the timeliness and reliability of communication. The paper summarizes the core characteristics of the wireless ad hoc network. According to the demand of development trend of the energy Internet to the information exchange between users, the centralized and distributed self-organized network will be analyzed. It will compare the synchronization performance difference between the information interaction of the Energy Internet user sides, and simulate the typical self-organization synchronization technology in the energy Internet user side scenario. Finally, based on the simulation results, I make a summary and analysis of the next step facing the problem, and propose solutions.

Comprehensive benefits assessment of different new energy generation technologies for global energy Internet development

The development of economy and society consumes a large-scale traditional fossil energy, which results the surface subsidence, water pollution, climate change, acid rain, fog, haze environmental problems and so on. The emergence of the global energy internet has played a crucial role in solving these problems. To meet the sustainable development needs of global energy, clean energy is fundamental. We should promote the development of clean alternative and electric energy alternative, and expand the scale of clean energy development and utilization. The innovation and economic improvement of clean energy generation technology provide a good prospect for the development of clean energy. In this paper, we put forward a comprehensive benefits assessment of different new energy generation technologies for global energy Internet development. The research results show that wind power, photovoltaic power generation and biomass power generation have the very good comprehensive benefits for the global energy internet.

Study on supervision and control methods for construction inspection of UHV transmission lines

With the introduction of global energy interconnection, the UHV transmission lines become more and more important as the backbone of the global energy internet. With the continuous construction of the UHV project in recent years, new requirements have been put forward for the new requirement for speed and quality of UHV project. It is very important to ensure engineering inspection and test activities are carried out in an orderly and orderly manner. Supervise engineering inspection and test results can reflect engineering quality level and it is also an indispensable part of the construction of UHV.

Research on the impact of extreme climate on renewable energy development

In recent years, due to the combined effects of human activities and natural factors, the global climate has been experiencing a wide range of anomalies. Complex weather and extreme weather and climate events continue to emerge, which will have a certain impact on renewable energy such as wind and solar resources. Accurate impact analysis of complex weather conditions on the spatio-temporal distribution characteristics of renewable energy, and scientific development of the global new renewable energy development layout, play a decisive role in the shape and scope of the global energy internet, and provide basic information support for the research and construction of the global energy internet. This paper analyzes the extreme weather and climate characteristics of El Niño and La Nina, and studies its influence mechanism and scope of action on the distribution characteristics of wind energy and solar energy resources in key regions of the world.

Routing Architecture of Software Defined Energy Internet

Energy Internet is a new and constantly evolving technology, of which the most critical part is how the energy flows. The concept of software customization used in the field of information will decouple the control plane from the data plane. It adopts a logical centralized control model. The control part of the device is implemented by a centralized programmable controller. Referring to the basic concept of computer network, the energy internet can be divided into energy resource subnet and energy transmission subnet. Energy micro-network, wide area energy internet and global energy internet are introduced. The concept of software-defined is applied to the field of smart grid which is the foundation and critical part of energy internet. This paper describes a software defined wide area energy internet routing architecture and implementation approach, which not only takes into account the compatibility of power devices with smart grid standards such as IEC61850 but also provides flexible software defined innovative application deployment.

Analysis of key factors affecting investors under the Global Energy Internet

It’s necessary to study indexes which affect investors with the development of energy internet. Firstly, according to Delphi Method, the core factors affecting power generation investment are screened out. Then, the system structure is analyzed, the feedback mechanism inside the system is identified, and the system causality diagram is established. Next, based on causality diagram, the mathematical model between variables is confirmed and the system dynamics model is built. Finally, the influence of core factors such as tax rate and loan interest rate on investment return is simulated by using the system dynamics model. Through the analysis of the impact of the core factors on the investment income, it can provide a reference for the power generation investment of different subjects under the global energy internet background.

Factors affecting the benefit of the investment subjects of the Global Energy Internet

Investment decisions under Global Energy Internet(GEI) are characterized by complexity and diversity. The investment decisions under the GEI are influenced by resource system, market mechanism, economic technology, power investment environment and cooperation risk. In order to make better investment decisions, the following work is done in this paper. Firstly, the interaction between the electricity price system and the different income mechanism between different subjects is studied. Then, the relationship between the economic investment ability and the income of the market mechanism is analyzed. Finally, based on the foregoing research, the factors affecting the benefit of the investment subjects of the GEI are summarized.

Applying Deep Learning Method to Data Analysis of Low Voltage Line Carrier Module

With the increasing popularity of the global energy Internet, the smart grid in the city has developed rapidly, and the number of smart energy meters is increasing year by year. The demand for detecting the carrier module of the power meter has also increased to a new level. But the existing carrier module data analysis scheme is not perfect. It is urgent to need a complete set of carrier module data analysis scheme and new detection technology to realize the multiplexing of carrier module data, and to excavate the value of the carrier module to detect the data. Unlike previous studies, which using SVM and Bayesian networks, this paper proposes a scheme for classification of carrier module detection data using a deep learning network. GRU deep neural network is used to model the test data and identify the environment automatically. According to the recognition results, the carrier module can be adjusted accordingly. Experiments show that the scheme proposed in this paper has good results. Our scheme has very good effect in low voltage power line carrier communication data analysis task. It can excavate valuable information of low voltage power line carrier communication and has high economic value. In addition, the technical solutions proposed in this paper will not affect the existing business processes, and can be applied in large areas.

Development and Analysis of the Wind Power Industry in Xinjiang, China

As one of the energy bases of China, Xinjiang Uygur Autonomous Region has participated in a series of developing programs, such as The Western Development (2000), The Belt and the Road (2014), and The Global Energy Internet Strategy (2015), which signify that China places considerable importance to the sustainable development of the energy industry in Xinjiang. As an important part of the energy industry in Xinjiang, the emerging wind power industry in this region has developed rapidly in recent years. However, many problems have emerged, such as the abandoned wind power rationing, which seriously restricts the healthy development of the wind power industry. In this study, we introduce the development of the renewable energy industry and analyze the wind energy resources in Xinjiang. We mainly investigate the development situation and existing problems in the wind power industry. Then we focus on the problem of wind power curtailment, analyze the causes, and propose measures and strategies to alleviate this problem. Our findings will contribute to the sustainable development of the wind power industry in Xinjiang.

Effectiveness Evaluation of Satellite-ground Collaborative Communication Network Based on AHP-FCE Method

In order to realize the Global Energy Internet, a communication network architecture named Satellite-Ground Collaborative Communication Network (SGCCN) is proposed in this paper. To confirm the feasibility of relevant technology and the collaborative network, an effectiveness evaluation scheme and index system of the complex network architecture are designed, and a method of evaluating the performance of SGCCN based on Analytic Hierarchy Process- Fuzzy Comprehensive Evaluation (AHP-FCE) method is proposed. Effectiveness evaluation simulation of the complex system is also carried out, and the evaluation results are obtained. The evaluation method proposed in this paper can provide a reference for similar field research.

Comprehensive evaluation of regional clean energy development levels based on principal component analysis and rough set theory

Abstract After the strategic concept of global energy Internet constructed, it has produced a strong response in the world. In recent years, countries around the world are actively promoting energy transformation and have developed clean energy development goals and plans. This paper constructs a comprehensive evaluation index system for the level of clean energy development by considering policies and regulations, energy supply, environmental impact, energy consumption, technology, economy and so on. At the same time, China, Germany, the United States and other countries are selected as evaluation objects. On the basis of searching, processing and analyzing a large number of data, firstly, the research uses the principal component analysis method to carry out the correlation cluster analysis of the index and then uses the rough set method to assign the weight of the extracted principal components. Finally, the weight of each index in the index system is calculated. The results of the comprehensive evaluation of each country are compared and analyzed, which shows that the weight determination method based on rough set theory and principal component analysis is more reasonable and objective. At the end of the paper, some suggestions are proposed to promote the development of clean energy.

Forecast and analysis of the ratio of electric energy to terminal energy consumption for global energy internet

In the background of building global energy internet, it has both theoretical and realistic significance for forecasting and analysing the ratio of electric energy to terminal energy consumption. This paper firstly analysed the influencing factors of the ratio of electric energy to terminal energy and then used combination method to forecast and analyse the global proportion of electric energy. And then, construct the cointegration model for the proportion of electric energy by using influence factor such as electricity price index, GDP, economic structure, energy use efficiency and total population level. At last, this paper got prediction map of the proportion of electric energy by using the combination-forecasting model based on multiple linear regression method, trend analysis method, and variance-covariance method. This map describes the development trend of the proportion of electric energy in 2017-2050 and the proportion of electric energy in 2050 was analysed in detail using scenario analysis.

Research on optimal investment path of transmission corridor under the global energy Internet

Under the background of the global energy Internet, the investment planning of transmission corridor from XinJiang to Germany is studied in this article, which passes through four countries: Kazakhstan, Russia, Belarus and Poland. Taking the specific situation of different countries into account, including the length of transmission line, unit construction cost, completion time, transmission price, state tariff, inflation rate and so on, this paper constructed a power transmission investment model. Finally, the dynamic programming method is used to simulate the example, and the optimal strategies under different objective functions are obtained.

Research on investment decisions model of trans-regional transmission network based on the theory of NPV

The investment decision model of trans-regional transmission network in the context of Global Energy Internet was studied in this paper. The key factors affecting the trans-regional transmission network investment income: the income tax rate, the loan interest rate, the expected return on investment of the investment subject, the per capita GDP and so on were considered in the transmission network investment income model. First, according to the principle of system dynamics, the causality diagram of key factors was constructed. Then, the dynamic model of transmission investment decision was established. A case study of the power transmission network between China and Mongolia, through the simulation of the system dynamic model, the influence of the above key factors on the investment returns was analyzed, and the feasibility and effectiveness of the model was proved.

Study on generation investment decision-making considering multi-agent benefit for global energy internet

. This article has studies on the generation investment decision in the background of global energy interconnection. Generation investment decision model considering the multiagent benefit is proposed. Under the back-ground of global energy Interconnection, generation investors in different clean energy base not only compete with other investors, but also facing being chosen by the power of the central area, therefor, constructing generation investment decision model considering multiagent benefit can be close to meet the interests demands. Using game theory, the complete information game model is adopted to solve the strategies of different subjects in equilibrium state.